Metrics question

Decagon is considering investment in a new channel or partner ecosystem, such as a marketplace listing, co-sell partnership, or a new communications channel. How would you decide whether to invest, and what post-launch signals would tell you to double down, iterate, or stop?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Tests investment decision making for a new growth channel using leading signals rather than waiting for lagging revenue proof.

Clarify the hypothesis: what specific pipeline, cost, or velocity problem does this channel or partnership solve today.
Estimate the addressable opportunity, for example marketplace impressions or partner referral volume, against Decagon's current pipeline size.
Run a small, time boxed test, such as a limited co sell pilot with one or two partners, before a full investment.
Set leading indicators to watch post launch: qualified lead volume, sales cycle length, and partner attributed pipeline.
Set explicit thresholds in advance, for example a minimum number of qualified leads per month, to decide double down, iterate, or stop.

Distinguishes leading signals, like partner attributed meetings booked, from lagging ones, like closed revenue, so the decision does not wait a full sales cycle.
Proposes a capped pilot investment rather than a full rollout, to limit downside if the channel underperforms.
Names a concrete kill criterion, for example fewer than five qualified leads after 90 days, rather than leaving the decision open ended.

Committing significant resources before testing the channel at small scale.
Judging the channel only on final revenue instead of tracking earlier funnel signals.

What would make you double down on this channel earlier than planned?
How would you attribute pipeline correctly if a deal touches both the new channel and existing sales?